Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- ;
- Cranfield University
- Technical University of Denmark
- SciLifeLab
- Chalmers University of Technology
- DAAD
- Technical University of Munich
- Susquehanna International Group
- Ghent University
- Curtin University
- Fraunhofer-Gesellschaft
- University of Groningen
- University of Luxembourg
- University of Nottingham
- ; The University of Manchester
- ; University of Nottingham
- ; University of Warwick
- Linköping University
- NTNU - Norwegian University of Science and Technology
- ; City St George’s, University of London
- ; Swansea University
- Humboldt-Stiftung Foundation
- Leibniz
- VIB
- Vrije Universiteit Brussel
- ; University of Exeter
- ; University of Surrey
- CWI
- Forschungszentrum Jülich
- RMIT University
- University of Adelaide
- University of Antwerp
- University of Southern Queensland
- University of Twente
- ; Newcastle University
- ; University of Bristol
- ; University of Leeds
- ; University of Oxford
- ; University of Southampton
- Aalborg University
- Abertay University
- Carnegie Mellon University
- Cornell University
- Duke University
- Imperial College London
- La Trobe University
- Leiden University
- Lulea University of Technology
- Norwegian University of Life Sciences (NMBU)
- Umeå University
- University of Copenhagen
- Wageningen University and Research Center
- ; Brunel University London
- ; Cranfield University
- ; Durham University
- ; Loughborough University
- ; Queen Mary University of London
- ; University of Birmingham
- ; University of Greenwich
- ; University of Reading
- ; University of Strathclyde
- ; University of Sussex
- Aarhus University
- Ariel University
- Arizona State University
- Blekinge Institute of Technology
- Brookhaven Lab
- Copenhagen Business School , CBS
- Flinders University
- Hannover Medical School •
- Harper Adams University
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- ICN2
- Institut Pasteur
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials •
- McGill University
- Monash University
- Murdoch University
- Mälardalen University
- National Institute for Bioprocessing Research and Training (NIBRT)
- Newcastle University
- Norwegian Meteorological Institute
- Purdue University
- Queensland University of Technology
- Radboud University
- Swedish University of Agricultural Sciences
- Swinburne University of Technology
- The University of Chicago
- Trinity College Dublin
- UiT The Arctic University of Norway
- University of Basel
- University of Bremen •
- University of British Columbia
- University of California Irvine
- 89 more »
- « less
-
Field
-
machine learning frameworks such as recurrent neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection
-
mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and machine learning frameworks such as recurrent
-
modalities and populations. This project (SpyGlass) will investigate machine learning methods, particularly generative and foundation models, to discover robust correlation structures in cross-modal datasets
-
machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity
-
optimization of batteries against the swelling phenomenon. This project aims at developing scientific machine learning approaches based on the Bayesian paradigm and electrochemical-thermomechanical models in
-
, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
-
Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning
-
for downstream tasks. In this project, you will develop novel unsupervised machine learning methods to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a
-
an exceptional opportunity to conduct cutting-edge research at the intersection of machine learning, healthcare, and computational modelling, contributing to real-world clinical impact. What is offered
-
for extracting physiological biomarkers from ECG, PPG, and related sensor data Machine learning and AI for predictive modelling and risk stratification Computational physiology modelling to personalise and